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Today's financial world is often the product of numerous mergers, acquisitions and rapid global expansion. Institutions focus their efforts on the integration of client teams and supporting technology platforms. Within these environments, reference data is left in the background as unstructured, unrecognized and stored in unconnected data silos. The creation of Sarbanes-Oxley, Basel II, KYC, anti-money laundering, MiFID and other regulations coupled with high profile business failures have resulted in a demanding and evolving compliance environment to ensure strong corporate governance.

In order to ensure compliance with current regulations and the continued success of business, financial institutions must address the quality of their reference data. Historically, achieving and maintaining data accuracy has been a time-consuming, labor intensive and expensive process, without sufficient technology to support the integration required.

Reference Data Management is a high priority area for most of the companies in the securities industry today. This is due to the increasing cost of managing duplicate data for various geographies, failed trades, and compliance requirements, such as Anti Money Laundering and 'Know Your Customer'.

CreditDimensions reference data solution is ideal for any company that suffers from failed trade reports, wants to introduce STP, or is seeking to reduce operational risk. By removing disparate application data silos, inconsistent security details and potentially serious liability is reduced.

Through CreditDimensions Reference Data Solutions normalization, consolidation and enrichment methodology, cleansed and standardized reference data is made available to all who require it. The raw data from each of the vendors selected by the client is stored in its original format, and is then enriched and finally mapped to normalized model - . The normalized data model used is a comprehensive industry-wide model which is aligned with ISO 15022 classifications. The normalization process makes for easy comparison, integration and anomaly-checking. A library of business rules guarantees consistency in the creation of a consolidated or gold-data pool of all the data submitted.

CreditDimensions has developed a comprehensive "Reference Data Management Framework" that includes defining the Reference Data strategy, performing analysis, and implementing and maintaining enterprise-wide Reference Data.

CreditDimensions has successfully executed complete end-to-end reference data solution for several leading banks.

For more information on CreditDimensions solutions for reference data management, visit the Resources section of our website.
  HIGHLIGHTS


Leader in Reference Data Management

Comprehensive Reference Data Management Framework

End-to-end reference data solutions

Cleansed and standardized reference data is made available

Normalized data model aligned with ISO 15022 classifications



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